Lecture Notes in Computer Science
DOI: 10.1007/978-3-540-74819-9_14
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Fuzzy Fusion in Multimodal Biometric Systems

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Cited by 23 publications
(14 citation statements)
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“…A. Bhattacharjee proposed feature level fusion in Daubechies wavelet [12]. V. Conti and G.Milici proposed system which integrates fuzzylogic methods at matching-score fusion [16] which results 6.7% improvement than monomodal systems.…”
Section: Rela Ted Workmentioning
confidence: 99%
“…A. Bhattacharjee proposed feature level fusion in Daubechies wavelet [12]. V. Conti and G.Milici proposed system which integrates fuzzylogic methods at matching-score fusion [16] which results 6.7% improvement than monomodal systems.…”
Section: Rela Ted Workmentioning
confidence: 99%
“…Conti et al [28] proposed a multimodal biometric system using two different Fingerprint acquisitions. The matching module integrates fuzzy-logic methods for matching-score fusion.…”
Section: Match Score Level Fusion and Rank Level Fusionmentioning
confidence: 99%
“…Ratha et al [17] proposed a unimodal distortion-tolerant fingerprint authentication technique based on graph representation. Using the fingerprint minutiae features, a weighted graph of minutiae is constructed for both the query fingerprint and the reference fingerprint.…”
Section: Related Workmentioning
confidence: 99%
“…In this paper, we introduce a frequency approach [17], to generate a unified homogeneous template for fingerprint and iris features. In greater detail, the proposed approach performs fingerprint matching using the segmented regions (Regions Of Interests, ROIs) surrounding fingerprint minutia points [11].…”
Section: Multimodal Biometric Identification Systemmentioning
confidence: 99%